Data mining of course enrollment and course description records has soared as institutions of higher education begin tapping into the value of these data for academic and internal research purposes. This has led to a more than doubling of papers on course prediction tasks every year. The papers often center around a single prediction task and…

National failure rates seen in undergraduate introductory CS courses are quite high. In this paper, we develop a predictive model for student in-class performance in an introductory CS course. The model can serve as an early warning system, flagging struggling students who might benefit from additional support. We use a variety of features from…

Most White people have learned to ignore the way that the social construct of race benefits them or harms people of Color, myself included. In this way, people take for granted that race is not real, but rather the invention of White supremacists. Moreover, researchers who are responsible for generating knowledge far too often depend on…

Video has become a widespread tool for capturing naturalistic behavioral data. While mixed methods show great potential in understanding the active nature of children's interaction, only a few studies have developed mixed methods for video-based interaction research. This paper presents a mixed methods embodied interaction model appropriate for…

Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…

Purpose: The purpose of this paper is to investigate how educators perceive and adapt their roles in the face of changes in technology-driven learning environments. The Gioia methodology explores how educators enable adaptive learning, broaden their pedagogical practice and promote cultural inclusivity to educate diverse students.…

Racism impacts the lives of students who identify as Black, Indigenous, or People of Color (BIPOC) in a myriad of ways. It is important that future teachers go beyond individual acts of racism to understand how racism operates as a system. To this end, we designed and implemented a statistical investigation with 13 preservice teachers using real…

Background: Advocates have endorsed transgender visibility via gender identity (GI) data capture with the advent of the Affordable Care Act and electronic health record (EHR) requirements. Visibility in data in order to enumerate a population contrasts with ways in which other LGBT and public health scholars have deployed these concepts. Aims: The…

This paper reports on the challenges faced by two researchers during data collection and translation of data and analysis in two public sector universities in Pakistan. Data collection from each institute involved different procedures and a different set of issues, including negotiating access with gatekeepers and participants, dealing with…

As universities are undergoing transformations produced by trends towards marketisation, massification, new public management, and 'third mission' of socio-economic impact, higher education (HE) researchers are increasingly concerned with the implications of the HE sector change on academic practice, professional identities, and even wellbeing.…

Learning about probability can pose difficulties for students at all levels. Performing probability experiments using games can encourage students to develop understandings of probability grounded in real events. In this reflective paper, we explore the thinking of a group of students and teachers as they reasoned about experimental and…

Regular attendance is essential to providing students with opportunities to learn. State and local education agencies (SEAs and LEAs) play a crucial role in tracking, measuring, and addressing student attendance. The coronavirus disease (COVID-19) pandemic affected the way that many SEAs and LEAs collect attendance data. This resource highlights…

The effective use of data plays a critical role throughout the policy process -- from accurately capturing populations being served to monitoring and measuring implementation and allocation of resources. In order for data to be used in a manner that supports evidence-based decision-making there is a need for education leaders and policymakers to…

Head Start, the largest early learning program in the United States, provides free federally funded, high-quality early learning for children alongside wraparound supports for parents. Its mission includes helping families achieve self-sufficiency and economic security, such as by helping parents access and succeed in college and workforce…

A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures…